基于集成模型和高效液相色谱分析的气候变化对美李适宜分布和生态位的影响

IF 5.8 2区环境科学与生态学 Q1 ECOLOGY

Ecological Informatics Pub Date : 2025-02-10 DOI:10.1016/j.ecoinf.2025.103071

Shuning Zhang , Minglong Gao , Junxing Chen , Ao Dun , Lin Wang , Wuyun Tana , Yu-e Bai , Wenquan Bao

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引用次数: 0

摘要

mira Koehne是中国重要的经济和生态木本油籽树种，但目前气候变化和人类活动对其分布区域、生长和种子质量造成了极大的影响。因此，研究其空间分布和籽粒油品质随气候变化的变化，对该物种的保护和利用具有重要意义。本研究探讨了气候变化对油葵地理分布、生态位和籽油品质的影响。基于Biomod2平台和集成模型，采用10个物种分布模型组模拟潜在分布区域。采用高效液相色谱法对紫花花种子的油成分进行了分析。结果表明，目前中国的潜在分布区域主要包括青藏高原和云贵高原的高海拔地区。未来的气候预测表明，mira适宜区域的迁移有限，其分布区域在经历增加之前会先减少。此外，mira种子油特性的变化与气候引起的变化一致，来自更适宜居住地区的种子生产出更好的油品质。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Evaluating climate-induced changes in the suitable distribution and ecological niche of Prunus mira Koehne using ensemble modeling and high-performance liquid chromatography analysis

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Evaluating climate-induced changes in the suitable distribution and ecological niche of Prunus mira Koehne using ensemble modeling and high-performance liquid chromatography analysis

Prunus mira Koehne, is an economically and ecologically important woody oilseed tree species in China, but currently, it is facing great challenges from climate change and human activities, impacting its distribution area and, consequently, its growth and seed quality. Therefore, it is important to investigate the spatial distribution of P. mira and changes in seed kernel oil quality with respect to climate change for the conservation and utilization of this species. This study explored the influence of climate change on the geographical distribution, ecological niches, and seed oil quality of P. mira. Based on the Biomod2 platform and ensemble modeling, 10 species distribution model groups were incorporated to simulate potential distribution areas. High-performance liquid chromatography was used to analyze the oil composition of P. mira seeds. The results revealed that the current potential distribution area in China primarily comprises high-altitude regions of the Tibetan and Yunnan-Guizhou Plateaus. Future climate projections suggest limited migration of suitable areas for P. mira, which initially decrease before experiencing an increase in the distribution area. Furthermore, variations in P. mira seed oil characteristics were aligned with climate-induced changes, with seeds from more habitable regions producing improved oil qualities.

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.